Package: factorH 0.6.0

Tomasz Rak

factorH: Multifactor Nonparametric Rank-Based ANOVA with Post Hoc Tests

Multifactor nonparametric analysis of variance based on ranks. Builds on the Kruskal-Wallis H test and its 2x2 Scheirer-Ray-Hare extension to handle any factorial designs. Provides effect sizes, Dunn-Bonferroni pairwise-comparison matrices, and simple-effects analyses. Tailored for psychology and the social sciences, with beginner-friendly R syntax and outputs that can be dropped into journal reports. Includes helpers to export tab-separated results and compact tables of descriptive statistics (to APA-style reports).

Authors:Tomasz Rak [aut, cre], Szymon Wrzesniowski [aut]

factorH_0.6.0.tar.gz
factorH_0.6.0.tar.gz(r-4.7-any)factorH_0.6.0.tar.gz(r-4.6-any)
factorH_0.6.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
factorH/json (API)

# Install 'factorH' in R:
install.packages('factorH', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.08 score 449 downloads 16 exports 133 dependencies

Last updated from:243d973e1a. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK173
source / vignettesOK212
linux-release-x86_64OK164
wasm-releaseOK145

Exports:as_jamovi_srh_fullbalance.chisq.datatablelevene.plan.datatablenonpar.datatablenormality.datatableplan.diagnosticsresiduals.cellwise.normality.datatableresiduals.normality.datatablesrh.effsizesrh.kwaysrh.kway.fullsrh.posthocsrh.posthocssrh.simple.posthocsrh.simple.posthocswrite.srh.kway.full.tsv

Dependencies:abindaskpassbackportsbitbit64bootbroomcacarcarDatacellrangerclassclicliprclustercodetoolscoincolorspacecorrrcowplotcpp11crayoncurldata.tableDerivDescToolsdoBydplyrdunn.teste1071ExactexpmfarverFlexParamCurveforcatsforeachforecastFormulafracdifffsFSAgclusgenericsggplot2ggrepelgldgluegtablehavenhmshttrisobanditeratorsjsonlitelabelinglatticelibcoinlifecyclelme4lmomlmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmimeminqamodelrmodeltoolsmultcompmultcompViewmvtnormnlmenloptrnnetnortestnumDerivopensslpbkrtestpermutepillarpkgconfigplotrixplyrprettyunitsprogressproxypurrrqapquantregR6rbibutilsRColorBrewerrcompanionRcppRcppArmadilloRcppEigenRdpackreadrreadxlreformulasregistryrematchrlangrootSolverstudioapiS7sandwichscalesscrutinyseriationSparseMstringistringrsurvivalsysTH.datatibbletidyrtidyselecttimeDateTSPtzdburcautf8vctrsveganviridisLitevroomwithrzoo

factorH: datasets
Rendered fromfactorH-dataset.Rmdusingknitr::rmarkdown

Last update: 2025-09-11
Started: 2025-09-11

factorH: functions reference
Rendered fromfactorH-reference.Rmdusingknitr::rmarkdown

Last update: 2025-09-11
Started: 2025-09-11

factorH: intro
Rendered fromfactorH-intro.Rmdusingknitr::rmarkdown

Last update: 2025-09-11
Started: 2025-09-11

factorH: syntax
Rendered fromfactorH-syntax.Rmdusingknitr::rmarkdown

Last update: 2025-09-11
Started: 2025-09-11

Readme and manuals

Help Manual

Help pageTopics
Convert srh.kway.full() output to a Jamovi-ready structureas_jamovi_srh_full
Count-balance chi-square diagnostics across factorsbalance.chisq.datatable
factorH: Multifactor rank-based ANOVA utilitiesfactorH-package factorH
Datasets in factorHdataset.factorH factorH-dataset factorH_dataset
factorH functions referencefactorH-reference factorH_reference reference.factorH
Syntax and formula patternsfactorH-syntax factorH_syntax syntax.factorH
Levene/Brown-Forsythe test for full-plan cellslevene.plan.datatable
Mimicry datasetmimicry
Compact descriptive tables (APA-style) with global mean ranksnonpar.datatable
Raw normality per subgroup (Shapiro–Wilk) across factor combinationsnormality.datatable
Plan-level diagnostics for ANOVA/rank-based workflowsplan.diagnostics
Cellwise residual normality (Shapiro–Wilk) from ANOVA modelsresiduals.cellwise.normality.datatable
Global residual normality (Shapiro–Wilk) from ANOVA modelsresiduals.normality.datatable
SRH with effect sizes for two-factor designssrh.effsize
K-way SRH on ranks with tie-corrected p-values and rank-based effect sizessrh.kway
Full pipeline: rank-based k-way ANOVA + descriptives + post hocssrh.kway.full
Dunn post hoc in a symmetric matrix form (one specified effect)srh.posthoc
Dunn post hoc tables (p.adj only) for all effects in a factorial designsrh.posthocs
Simple-effects post hoc (Dunn) with Bonferroni adjustmentsrh.simple.posthoc
Simple-effects post hoc tables for all possible effectssrh.simple.posthocs
Write full SRH pipeline result to a TSV filewrite.srh.kway.full.tsv